Think Python: How to Think Like a Computer Scientist This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .

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Bibliographic Details

Title: Think Python: How to Think Like a Computer Scientist
Publisher: O'Reilly Media
Publication Date: 2015
Language: English
ISBN 10: 1491939362
ISBN 13: 9781491939369
Binding: Paperback
Edition: 2nd Edition
Condition: Very Good

About this title

Synopsis

If you want to learn how to program, working with Python is an excellent way to start. This hands-on guide takes you through the language a step at a time, beginning with basic programming concepts before moving on to functions, recursion, data structures, and object-oriented design. This second edition and its supporting code have been updated for Python 3.

Through exercises in each chapter, you’ll try out programming concepts as you learn them. Think Python is ideal for students at the high school or college level, as well as self-learners, home-schooled students, and professionals who need to learn programming basics. Beginners just getting their feet wet will learn how to start with Python in a browser.

Start with the basics, including language syntax and semantics
Get a clear definition of each programming concept
Learn about values, variables, statements, functions, and data structures in a logical progression
Discover how to work with files and databases
Understand objects, methods, and object-oriented programming
Use debugging techniques to fix syntax, runtime, and semantic errors
Explore interface design, data structures, and GUI-based programs through case studies

About the Author

Allen Downey is a Professor of Computer Science at Olin College of Engineering. He has taught at Wellesley College, Colby College and U.C. Berkeley. He has a Ph.D. in Computer Science from U.C. Berkeley and Master's and Bachelor's degrees from MIT.

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